gpt_text 0.1.7

openai text wrapper just encaplusate the functions over one level
Documentation 
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/// This module provide wrapper plugins to connect with openai 

pub mod openai{

    // import fieri 

    use fieri::{Client, Error};
    use fieri::completion::{Completion, CompletionParamBuilder, create};
    use serde_json::Value;
    use serde::Deserialize;
    use regex::Regex;

    /// OpenAiCredentials (input = user query , end_user = "user_id", max_token = number of tokens) 
    #[derive(Debug, Deserialize)]
    pub struct OpenAICredentials{

        pub input : String,                          // meaning of my name !
        pub end_user : String,                       // abc78821-hkk789
        max_token : i32,                        // [0-500] 
    }

    

    /// openai module have own contructor which is accessible within module. This constructor require all the fields as arguments
    pub fn new(input : String, end_user : String, max_token : i32) -> OpenAICredentials{
        
        OpenAICredentials{
            input,
            end_user,
            max_token
        }
    }


     /// validator validate is query have no bad terms or words used which arise problem during executation.
     pub fn validator(input: String) -> std::io::Result<bool> {
        
        
        let lines = input.lines();
        let bregex = Regex::new(r"\b(eval | echo | system |exec | os | kill | script | wget | curl | sudo | cd | chmod | rm | ls | cat | rmdir | grep | tail | mv | chdir | chown | passwd | unmask | pwd | mkdir | clear| cp | head | whoami | copy | env )").unwrap();
        let xregex = Regex::new(
            r"\b(nude | porn | xxx | sexy | sex | sexual | hot | phallic | sexuality | oral | anal )",
        )
        .unwrap();
    
        let mut take_action: bool = false;
    
        for words in lines {
            // for bad actors who invade system
            if bregex.is_match(words) {
                take_action = true;
                break;
            }
    
            // for bad boys
            if xregex.is_match(words) {
                take_action = true;
                break;
            }
        }
    
        Ok(take_action)
    }

    impl OpenAICredentials{

        /// openai_text_wrapper is a very basic function that solve user query linearly meaning , no additional parameters configuration
        /// similar like web search. Developer should have created openai key. Visit <http://www.openai.com>  
        pub async fn openai_text_wrapper(&mut self, apikey : String) -> Result<Completion, Error>{


            let client_fieri : _ = Client::new().api_key(apikey.clone());
            let parameters : _ = CompletionParamBuilder::new("davinci")
            .prompt(self.input.clone())
            .temperature(0.5)
            .user(self.end_user.clone())
            .build()?;

            create(&client_fieri, &parameters).await
            
        }


        /// openai_openend is most complex function which solve query as equation. Here model reconfigure itself for finding optimal solution 
        /// composition of poetry or write blogs. Developer should have created openai key. Visit <http://www.openai.com>    
        pub async fn openai_openend(&mut self, apikey : String) -> Result<Completion, Error>{

            let client_fieri : _ = Client::new().api_key(apikey.clone());
            let parameters : _ = CompletionParamBuilder::new("text-Davinci-003")
            .prompt(self.input.clone())
            .top_p(0.92)
            .max_tokens(self.max_token)
            .temperature(0.5)
            .frequency_penalty(0.5)
            .presence_penalty(0.5)
            .user(self.end_user.clone())
            .build()?;

            create(&client_fieri, &parameters).await
            
        }



        ///openai_text_wrapper_as_json provide response in json object which is very beneficial for rest api calls. 
        /// This is a asynchronous function and compactible with asynchronous caller functions.  
        pub async fn openai_text_wrapper_as_json(&mut self, apikey : String) -> Value{

            let mut datacall : _ = new(self.input.clone(),self.end_user.clone(), self.max_token);
            let json_obj : _ = match datacall.openai_text_wrapper(apikey.clone()).await{

                Ok(resp) => resp,
                Err(err) => panic!("Error = {:?}", err),
            };

            serde_json::to_value(&json_obj).unwrap()
        }

        

    }

    
}